Vehicle Deterioration Assessment Using Multi-Sensor Usage Data
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Solution Overview
Problem
Existing vehicle assessment methods rely on fault diagnosis and user-provided data, which may not accurately represent the vehicle's condition, especially in areas difficult to photograph or diagnose, and can include personal information, making remote and accurate assessments challenging.
Innovation Solution
An information processing apparatus that collects and accumulates vehicle data correlated with deterioration, such as steering wheel angle, accelerator and brake pedal travel distance, and engine operating time, generates a relationship with actual assessment results using machine learning, and outputs assessment information without personal information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fault diagnosis and user-provided data are used for vehicle assessment, then personal information is collected, but assessment accuracy in areas difficult to photograph or diagnose is insufficient
Solution Approach 1:
The patent replaces manual inspection and photography methods with automated sensor-based data collection. Sensors objectively measure vehicle conditions (temperature, pressure, operational parameters) without requiring physical access to difficult-to-reach areas, thereby improving assessment accuracy while reducing the complexity of manual data gathering procedures
Solution Approach 2:
The patent introduces sensors as intermediary devices between the vehicle systems and the assessment process. These sensors act as mediators that automatically collect and transmit operational data, eliminating the need for direct human observation and photography of difficult-to-access components, thus improving measurement precision without proportionally increasing system complexity
2Measurement precision
If multiple types of vehicle data are collected and accumulated, then assessment accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent implements a multi-functional data processing system that handles diverse sensor data types (temperature, pressure, operational parameters) through a unified processing framework. This universal approach allows the system to process multiple data sources simultaneously using the same algorithms and infrastructure, improving assessment accuracy while avoiding the need for separate processing systems for each data type
Solution Approach 2:
The patent combines multiple data collection and processing functions into an integrated system. Rather than treating each sensor type separately, the system merges data streams from various sensors into a unified assessment process, reducing overall system complexity while maintaining high measurement precision through comprehensive data analysis
3Object-affected harmful factors
If remote assessment is performed using limited data, then personal information protection is improved, but assessment accuracy deteriorates
Solution Approach 1:
The patent replaces subjective user-provided information with objective sensor measurements for remote assessment. Sensors automatically collect operational data (temperature, pressure, usage patterns) that accurately reflect vehicle condition without requiring personal information from users, thereby maintaining assessment accuracy while protecting personal information
Solution Approach 2:
The patent enables the vehicle itself to provide assessment data through onboard sensors rather than requiring user input. The vehicle's systems automatically generate and transmit operational data, eliminating the need for users to provide personal information while ensuring comprehensive and accurate assessment through continuous self-monitoring
Data Source
AI summary
A controller is provided which is configured to perform: acquiring and accumulating a plurality of types of data collected in a vehicle, the plurality of types of data correlated with deterioration of the vehicle; generating a relationship between an accumulated plurality of types of data and a result of an actual assessment of the vehicle corresponding to the plurality of types of data; outputting information on an assessment of a first vehicle according to the plurality of types of data accumulated for the first vehicle and the relationship.